Triple
T17833512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cromwell Road |
E445321
|
entity |
| Predicate | postalArea |
P920
|
FINISHED |
| Object |
SW7
SW7 is a central London postcode district covering parts of South Kensington and the surrounding area, known for major museums and affluent residential streets.
|
E1291054
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: SW7 | Statement: [Cromwell Road, postalArea, SW7]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SW7 Context triple: [Cromwell Road, postalArea, SW7]
-
A.
SW5
SW5 is a central London postcode district covering parts of Earl’s Court and West Brompton in the Royal Borough of Kensington and Chelsea.
-
B.
SH 7
SH 7 is a state highway in Colorado that runs through the Front Range, providing access to communities such as Boulder and Estes Park and serving as a scenic route into the Rocky Mountains.
-
C.
S7
S7 is a line of the Rhine-Main S-Bahn rapid transit network serving the Frankfurt Rhine-Main metropolitan region in Germany.
-
D.
S7
S7 is a Berlin S-Bahn rapid transit line that runs across the city, connecting key districts between Potsdam and Ahrensfelde.
-
E.
S7
S7 is the IATA airline designator for S7 Airlines, a major Russian carrier based in Novosibirsk.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SW7 Triple: [Cromwell Road, postalArea, SW7]
Generated description
SW7 is a central London postcode district covering parts of South Kensington and the surrounding area, known for major museums and affluent residential streets.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SW7 Target entity description: SW7 is a central London postcode district covering parts of South Kensington and the surrounding area, known for major museums and affluent residential streets.
-
A.
SW5
SW5 is a central London postcode district covering parts of Earl’s Court and West Brompton in the Royal Borough of Kensington and Chelsea.
-
B.
SH 7
SH 7 is a state highway in Colorado that runs through the Front Range, providing access to communities such as Boulder and Estes Park and serving as a scenic route into the Rocky Mountains.
-
C.
S7
S7 is a line of the Rhine-Main S-Bahn rapid transit network serving the Frankfurt Rhine-Main metropolitan region in Germany.
-
D.
S7
S7 is a Berlin S-Bahn rapid transit line that runs across the city, connecting key districts between Potsdam and Ahrensfelde.
-
E.
S7
S7 is the IATA airline designator for S7 Airlines, a major Russian carrier based in Novosibirsk.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48d2635a081909d4d48d22e260f8e |
completed | April 19, 2026, 8:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0306f83e748190b9d111b12ee8e0b8 |
completed | May 12, 2026, 10:54 a.m. |
| NEDg | Description generation | batch_6a0308403f7c81908570458c944eae34 |
completed | May 12, 2026, 11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0308d5d69481908402f366e561b8c0 |
completed | May 12, 2026, 11:02 a.m. |
Created at: April 10, 2026, 10:15 a.m.